{"id":"W127753603","doi":"","title":"Teaching Spam and Spyware at the University of C@1g4ry.","year":2006,"lang":"en","type":"article","venue":"Conference on Email and Anti-Spam","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Spamming; Computer security; Computer science; Internet privacy; Software; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009748547,0.001111185,0.0005869343,0.001581139,0.004305657,0.003436587,0.0007371521,0.001670943,0.1290394],"category_scores_gemma":[0.001929443,0.0004649723,0.0004414612,0.0006399277,0.001602446,0.00208037,0.001556168,0.002342865,0.02946031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004852745,"about_ca_system_score_gemma":0.005809567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980129,"about_ca_topic_score_gemma":0.06567132,"domain_scores_codex":[0.9992597,0.00009739692,0.00001897199,0.000179299,0.0002263378,0.000218326],"domain_scores_gemma":[0.9981086,0.0001994326,0.00006602852,0.0000685153,0.0003121444,0.001245334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001672177,0.0008207177,0.00559286,0.0002883001,0.00001988862,0.0006994639,0.002860284,0.0004705559,0.006095451,0.01149764,0.6409715,0.3305161],"study_design_scores_gemma":[0.00003325239,0.0004652968,0.01129975,0.0003043412,0.00002035207,0.0005277252,0.001949758,0.001423746,0.005412238,0.006853612,0.971664,0.00004598244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08221219,0.01306135,0.02493445,0.118433,0.007672853,0.0007023317,0.001139055,0.006668986,0.7451758],"genre_scores_gemma":[0.08064184,0.003501652,0.01601083,0.005723218,0.0006593071,0.0001119858,0.0003054409,0.0003549823,0.8926907],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1290394,"threshold_uncertainty_score":0.4316799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297657700322351,"score_gpt":0.2171504978349685,"score_spread":0.204173920831745,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}